Tenkai Daily — June 27, 2026

Model Releases

• deepreinforce-ai/Ornith-1.0 — Qwen3.5-MoE based model suite (9B & 35B) — A Qwen3.5-MoE suite (9B/35B) that turns images into text, released under MIT. Comes in full‑precision safetensors and GGUF flavors, plus endpoint compatibility. 🤖📄

Open Source Releases

• Claude Code v2.1.195: Hook matcher fix for hyphenated identifiers — Fixed hook matchers that were over‑matching hyphenated IDs (e.g., code-reviewer). Now they exact‑match; use mcp__brave-search__.* for namespace tools. Also added a flag to disable mouse clicks. 🛠️
• fastaiagent 1.28.0 — Agent SDK with fork-and-rerun Agent Replay — SDK for building, debugging, evaluating and operating AI agents. The fork‑and‑rerun replay lets you reproduce and step through agent execution traces—great for observability. 🤖🔧
• powerailabs-tokenguard 0.6.1 — Pre-flight cost caps and circuit-breakers for LLM calls — Keeps LLM bill shock at bay with pre‑flight cost estimates, spend attribution, and circuit‑breakers. Production engineers, eat your heart out. 💰🛡️
• powerailabs-acttrace 0.7.0 — Tamper-evident audit log for AI decisions — Generates hash‑chained, auto‑populated audit logs you can verify offline. Helpful when regulators ask for proof of what the model decided. 📜🔐
• vllm-cpu-nightly 0.24.1.dev202606270838 — CPU-focused LLM inference engine nightly — Nightly build of vLLM that runs on CPUs. Good for experimenting with high‑throughput inference without a GPU. ☕🚀
• tfp-nightly 0.26.0.dev20260627 — TensorFlow Probability nightly — Latest TensorFlow Probability snapshots for probabilistic modeling and Bayesian inference. Perfect if your pipeline lives in the TF ecosystem. 📊🔬

Today’s Synthesis

Picture a production pipeline where an agent sees images, turns them into text, logs every decision for regulators, and never blows the cloud bill. Start with Ornith‑1.0‑35B (deepreinforce-ai/Ornith-1.0-35B ) to munch visual data into prompts; run it on a CPU‑only stack using vllm‑cpu‑nightly (vllm-cpu-nightly 0.24.1.dev202606270838 ) so you can prototype without a GPU. Plug that inference into fastaiagent 1.28.0 (fastaiagent 1.28.0 ) for fork‑and‑rerun replay—great for stepping through bugs, reproducing user edge cases, and proving the flow works before you push it anywhere. Guard the wallet with powerailabs‑tokenguard 0.6.1 (powerailabs-tokenguard 0.6.1 ) which pre‑flight estimates token usage, caps spend, and opens circuit‑breakers on overages, so you never get a surprise invoice. Finally, attach powerailabs‑acttrace 0.7.0 (powerailabs-acttrace 0.7.0 ) to hash‑chain each decision, giving you tamper‑evident audit logs you can pull offline for compliance audits and satisfy any regulator’s request for proof of what the model decided. The result is a sandbox‑ready, budget‑safe, regulator‑friendly agent you can actually ship to production; run it on CPU, replay failures, throttle costs, and keep a clean, verifiable trail for anyone who asks. 🤖📄🛠️💰🛡️📜🔐